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[install doc] add cuda11.6 in Tables.md in paddle v2.3.1 install doc (#5045)
* add cuda116 in Tables * fix mac m1 whl name
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‎docs/install/Tables.md‎

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@@ -469,6 +469,19 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.2-cudnn8-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post112-cp310-cp310-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post112-cp310-cp310-linux_x86_64.whl</a></td>
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</tr>
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<tr>
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<td> cuda11.6-cudnn8.4-mkl-gcc8.2-avx </td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.6-cudnn8.4.0-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post116-cp36-cp36m-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post116-cp36-cp36m-linux_x86_64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.6-cudnn8.4.0-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post116-cp37-cp37m-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post116-cp37-cp37m-linux_x86_64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.6-cudnn8.4.0-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post116-cp38-cp38-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post116-cp38-cp38-linux_x86_64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.6-cudnn8.4.0-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post116-cp39-cp39-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post116-cp39-cp39-linux_x86_64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.6-cudnn8.4.0-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post116-cp310-cp310-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post116-cp310-cp310-linux_x86_64.whl</a></td>
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</tr>
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<tr>
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<td> macos-cpu-openblas </td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas/paddlepaddle-2.3.1-cp36-cp36m-macosx_10_6_intel.whl">
@@ -486,12 +499,12 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。
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<td> macos-cpu-openblas-m1 </td>
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<td> - </td>
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<td> - </td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp38-cp38-macosx_11_0_universal2.whl">
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paddlepaddle-2.3.1-cp38-cp38-macosx_11_0_universal2.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp39-cp39-macosx_11_0_universal2.whl">
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paddlepaddle-2.3.1-cp39-cp39-macosx_11_0_universal2.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp310-cp310-macosx_11_0_universal2.whl">
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paddlepaddle-2.3.1-cp310-cp310-macosx_11_0_universal2.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp38-cp38-macosx_11_0_arm64.whl">
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paddlepaddle-2.3.1-cp38-cp38-macosx_11_0_arm64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp39-cp39-macosx_11_0_arm64.whl">
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paddlepaddle-2.3.1-cp39-cp39-macosx_11_0_arm64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp310-cp310-macosx_11_0_arm64.whl">
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paddlepaddle-2.3.1-cp310-cp310-macosx_11_0_arm64.whl</a></td>
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</tr>
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<tr>
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<td> win-cpu-mkl-avx </td>
@@ -581,6 +594,14 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.2-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post112-cp39-cp39-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post112-cp39-cp39-win_amd64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.2-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post112-cp310-cp310-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post112-cp310-cp310-win_amd64.whl</a></td>
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</tr>
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<tr>
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<td> win-cuda11.6-cudnn8.4-mkl-vs2017-avx </td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.6-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post116-cp36-cp36m-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post116-cp36-cp36m-win_amd64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.6-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post116-cp37-cp37m-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post116-cp37-cp37m-win_amd64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.6-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post116-cp38-cp38-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post116-cp38-cp38-win_amd64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.6-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post116-cp39-cp39-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post116-cp39-cp39-win_amd64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.6-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post116-cp310-cp310-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post116-cp310-cp310-win_amd64.whl</a></td>
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</tr>
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</tbody>
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</table>
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</p>

‎docs/install/Tables_en.md‎

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@@ -371,6 +371,19 @@ Please note that: in the commands, <code> paddlepaddle-gpu==2.3.1 </code> will i
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.2-cudnn8-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post112-cp310-cp310-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post112-cp310-cp310-linux_x86_64.whl</a></td>
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<tr>
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<td> cuda11.6-cudnn8.4-mkl-gcc8.2-avx </td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.6-cudnn8.4.0-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post116-cp36-cp36m-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post116-cp36-cp36m-linux_x86_64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.6-cudnn8.4.0-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post116-cp37-cp37m-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post116-cp37-cp37m-linux_x86_64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.6-cudnn8.4.0-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post116-cp38-cp38-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post116-cp38-cp38-linux_x86_64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.6-cudnn8.4.0-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post116-cp39-cp39-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post116-cp39-cp39-linux_x86_64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/linux/linux-gpu-cuda11.6-cudnn8.4.0-mkl-gcc8.2-avx/paddlepaddle_gpu-2.3.1.post116-cp310-cp310-linux_x86_64.whl">
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paddlepaddle_gpu-2.3.1.post116-cp310-cp310-linux_x86_64.whl</a></td>
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</tr>
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<tr>
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<td> macos-cpu-openblas </td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas/paddlepaddle-2.3.1-cp36-cp36m-macosx_10_6_intel.whl">
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<td> macos-cpu-openblas-m1 </td>
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<td> - </td>
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<td> - </td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp38-cp38-macosx_11_0_universal2.whl">
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paddlepaddle-2.3.1-cp38-cp38-macosx_11_0_universal2.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp39-cp39-macosx_11_0_universal2.whl">
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paddlepaddle-2.3.1-cp39-cp39-macosx_11_0_universal2.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp310-cp310-macosx_11_0_universal2.whl">
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paddlepaddle-2.3.1-cp310-cp310-macosx_11_0_universal2.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp38-cp38-macosx_11_0_arm64.whl">
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paddlepaddle-2.3.1-cp38-cp38-macosx_11_0_arm64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp39-cp39-macosx_11_0_arm64.whl">
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paddlepaddle-2.3.1-cp39-cp39-macosx_11_0_arm64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/macos/macos-cpu-openblas-m1/paddlepaddle-2.3.1-cp310-cp310-macosx_11_0_arm64.whl">
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paddlepaddle-2.3.1-cp310-cp310-macosx_11_0_arm64.whl</a></td>
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<td> win-cpu-mkl-avx </td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.2-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post112-cp39-cp39-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post112-cp39-cp39-win_amd64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.2-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post112-cp310-cp310-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post112-cp310-cp310-win_amd64.whl</a></td>
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<tr>
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<td> win-cuda11.6-cudnn8.4-mkl-vs2017-avx </td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.6-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post116-cp36-cp36m-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post116-cp36-cp36m-win_amd64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.6-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post116-cp37-cp37m-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post116-cp37-cp37m-win_amd64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.6-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post116-cp38-cp38-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post116-cp38-cp38-win_amd64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.6-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post116-cp39-cp39-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post116-cp39-cp39-win_amd64.whl</a></td>
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<td> <a href="https://paddle-wheel.bj.bcebos.com/2.3.1/windows/windows-gpu-cuda11.6-cudnn8-mkl-avx/paddlepaddle_gpu-2.3.1.post116-cp310-cp310-win_amd64.whl"> paddlepaddle_gpu-2.3.1.post116-cp310-cp310-win_amd64.whl</a></td>
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</tr>
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</tbody>
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</table>
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</p>

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